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Based on the following data: Age Hours 6 108 4 32 10 200 7 98 12 363 7 98 7 147 11 242 5 75

  1. Based on the following data:

Age

Hours 

6

108

4

32

10

200

7

98

12

363

7

98

7

147

11

242

5

75

6

72

11

242

6

72

  1. Recall that a linear regression function has the format ????(????)=????????+????. Calculate a linear regression for the data above and indicate the value of a:

  1. Recall that a linear regression function has the format ????(????)=????????+????. Calculate a linear regression for the data above and indicate the value of b:

  1. Recall that a linear regression function has the format ????(????)=????????+????. Calculate a linear regression for the data above and indicate the value of ????2:

  1. Recall that a polynomial regression function has the format ????(????)=????????2+????????+????. Calculate a polynomial regression for the data above and indicate the value of ????:

  1. Recall that a polynomial regression function has the format ????(????)=????????2+????????+????. Calculate a polynomial regression for the data above and indicate the value of ????: 

  1. Recall that a polynomial regression function has the format ????(????)=????????2+????????+????. Calculate a polynomial regression for the data above and indicate the value of ????: 

  1. Recall that a polynomial regression function has the format ????(????)=????????2+????????+????. Calculate a polynomial regression for the data above and indicate the value of ????2: 

  1. Considering the regression curve in the chart, estimate the number of cases on day 20. Keep in mind that number of cases is not a decimal value.
  2. 9. Considering the regression curve in the chart, estimate the number of cases on day 22. Keep in mind that number of cases is not a decimal value.
  3. image text in transcribed
  4. 9. Considering the regression curve in the chart, estimate the number of cases on day 22. Keep in mind that number of cases is not a decimal value.image text in transcribed

10. Which one of the presented regressions is better suited to describe the data shown below? Choose 1

The linear regression

The quadratic regression

The exponential regressionimage text in transcribed

11. Which of the presented regressions would you actually use to predict the outcome? (choose 1)

The linear regression

The quadratic regression

The exponential regression

None of the presented regressionsimage text in transcribed

30 30 15 25 y=0.3298x2-5.9797x+29.598 R2=0.7996 20 15 16 New cases 10 10 5 S 10 Day 15 20 20

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